Waste Management, Journal Year: 2024, Volume and Issue: 193, P. 237 - 249
Published: Dec. 13, 2024
Language: Английский
Waste Management, Journal Year: 2024, Volume and Issue: 193, P. 237 - 249
Published: Dec. 13, 2024
Language: Английский
Journal of Analytical and Applied Pyrolysis, Journal Year: 2025, Volume and Issue: 186, P. 106951 - 106951
Published: Jan. 5, 2025
Language: Английский
Citations
0Industrial & Engineering Chemistry Research, Journal Year: 2025, Volume and Issue: unknown
Published: March 14, 2025
This study investigates the synergy and performance of copyrolysis between banana pseudostem (BPS) plastic residues─polyethylene terephthalate (PET) polypropylene (PP)─using thermogravimetric analysis artificial neural network (ANN) modeling. Results indicated that all parameters characterizing increased with proportion in mixture (initial temperature, maximum weight loss rate, final residual mass). Optimal was achieved at 30 K/min for 25% PET/75% BPS blend, yielding lowest activation energy (139.7 kJ/mol), 10 50% PP/50% blend (133.1 kJ/mol). The ANN model demonstrated high predictive accuracy (R2 above 0.999), predicted experimental data closely aligned those obtained experimentally, results showed less than 5% relative error from most cases. These findings underscore ANN's reliability generalizing predictions across various conditions, offering a novel efficient approach to optimizing pyrolysis processes compared traditional methods.
Language: Английский
Citations
0Renewable Energy, Journal Year: 2024, Volume and Issue: 237, P. 121524 - 121524
Published: Oct. 5, 2024
Language: Английский
Citations
3Fuel, Journal Year: 2024, Volume and Issue: 381, P. 133300 - 133300
Published: Sept. 28, 2024
Language: Английский
Citations
2Waste Management, Journal Year: 2024, Volume and Issue: 193, P. 237 - 249
Published: Dec. 13, 2024
Language: Английский
Citations
2